摘要
提出了在非补偿型多属性决策 (MADM )下基于优势属性集的偏好序关系模型。优势属性集的重要性不再用数值权重衡量 ,而是利用人工智能技术将决策者对它们的偏好信息以知识形式表达出来 。
An approach in introducing artificial intelligence into multi attribute decision making (MADM) is discussed. In ranking methods, the non compensatory aggregator procedure uses an importance relation on attributes subsets. The decision makers knowledge on this importance relation is formulated in the form of facts and rules, without converting them into weights. Therefore each ranking relation may be obtained by the reasoning of these knowledge.
出处
《兵工学报》
EI
CAS
CSCD
北大核心
1999年第1期90-93,共4页
Acta Armamentarii
关键词
多属性决策
优势属性集
人工智能
智能化
MADM, dominance attributes subsets, artificial intelligence, knowledge reasoning